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shuffle — scikit-learn 1.7.1 documentation
1.], [1., 0.]]) >>> y array([2, 1, 0]) >>> shuffle...>>> X = np . array ([[ 1. , 0. ], [ 2. , 1. ], [ 0. , 0. ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html -
SparseRandomProjection — scikit-learn 1.7.1 doc...
with probability 1 / 2s 0 with probability 1 - 1 / s +sqrt(s) /...Added in version 1.1. density_ float in range 0.0 - 1.0 Concrete density...scikit-learn.org/stable/modules/generated/sklearn.random_projection.SparseRandomProjection.html -
BisectingKMeans — scikit-learn 1.7.1 documentation
array ([[ 1 , 1 ], [ 10 , 1 ], [ 3 , 1 ], ... [ 10 , 0...scikit-learn 1.1 Release Highlights for scikit-learn 1.1 On this page...scikit-learn.org/stable/modules/generated/sklearn.cluster.BisectingKMeans.html -
Kernel Approximation — scikit-learn 1.7.1 docum...
Examples concerning the sklearn.kernel_approximation module. Scalable learning with polynomial kernel approximationscikit-learn.org/stable/auto_examples/kernel_approximation/index.html -
Covariance estimation — scikit-learn 1.7.1 docu...
Examples concerning the sklearn.covariance module. Ledoit-Wolf vs OAS estimation Robust covariance estimation and Mahalanobis distances relevance Robust vs Empirical covariance estimate Shrinkage c...scikit-learn.org/stable/auto_examples/covariance/index.html -
Developing Estimators — scikit-learn 1.7.1 docu...
Examples concerning the development of Custom Estimator.__sklearn_is_fitted__ as Developer APIscikit-learn.org/stable/auto_examples/developing_estimators/index.html -
Hyperparameter — scikit-learn 1.7.1 documentation
n_elements = 1 , fixed = None ) [source] # A...the parameter. If n_elements>1, a pair of 1d array with n_elements...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html -
ARDRegression — scikit-learn 1.7.1 documentation
[ 1 , 1 ], [ 2 , 2 ]], [ 0 , 1 , 2 ]) ARDRegression()...>>> clf . predict ([[ 1 , 1 ]]) array([1.]) Comparing Linear Bayesian...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
OneVsOneClassifier — scikit-learn 1.7.1 documen...
1, 0, 2, 0, 2, 0, 1, 1, 1]) decision_function...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html -
clone — scikit-learn 1.7.1 documentation
>>> X = [[ - 1 , 0 ], [ 0 , 1 ], [ 0 , - 1 ], [ 1 , 0 ]] >>> y...y = [ 0 , 0 , 1 , 1 ] >>> classifier = LogisticRegression ()...scikit-learn.org/stable/modules/generated/sklearn.base.clone.html